SHapley Additive exPlanations (SHAP) for Landslide Susceptibility Models: Shedding Light on Explainable AI by H. Al-Najjar, B. Kalantar, B. Pradhan, G. Beydoun, N. Ueda

“…This research examines the effectiveness of the SHapley Additive exPlanations (SHAP) approach in enhancing the interpretability of landslide susceptibility models. …”
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Space and time joint optimization for vertical takeoff and landing aircraft in dense obstacles and interference environments by Liben Yang, Yu Li, Jianwen Tian, Dong Wang

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Robust pose estimation for non-cooperative space objects based on multichannel matching method by Zhaoxiang Zhang, Yuelei Xu, Jianing Song

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A Context-Aware Android Malware Detection Approach Using Machine Learning by Mohammed N. AlJarrah, Qussai M. Yaseen, Ahmad M. Mustafa

“…Furthermore, the proposed approach used the Information Gain algorithm to reduce the API and permission feature space from 527 to the most relevant 50 features only. …”
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Metasurface-Based Solar Absorption Prediction System Using Artificial Intelligence by Md. Mottahir Alam, Ahteshamul Haque, Asif Irshad Khan, Samir Kasim, Amjad Ali Pasha, Aasim Zafar, Kashif Irshad, Anis Ahmad Chaudhary, Md. Samsuzzaman, Rezaul Azim

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Inclusion of Unicode Standard seamless characters to expand Arabic text steganography for secure individual uses by Norah Alanazi, Esam Khan, Adnan Gutub

“…Due to the limited number of research studies that have achieved these ends through text steganography, we present an innovative approach for hiding secret bits in Arabic text with Unicode Standard seamless. …”
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The Value of Subclinical Carotid Atherosclerosis for Primary Prevention of Cardiovascular Diseases. Review of the Main International Studies by E. K. Butina, E. V. Bochkareva

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A Multistep Iterative Ranking Learning Method for Optimal Project Portfolio Planning of Smart Grid by Cong Liu, Xianghua Li, Jian Liang, Kun Sheng, Lingzhao Kong, Xiaoyan Peng, Wenxin Zhao

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INFORMATION MODELING OF ORGANIZATION OF BRIDGES’ CONSTRUCTION UNDER STOCHASTIC UNCERTAINTY OF TIME PARAMETERS by T. V. Bobrova, M. S. Ratanin, E. P. Timofeeva

“…Therefore, the direction of further research would be connected with the justification of the choice of solutions based on the set of acting random factors.…”
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Fast and Efficient Drone Path Planning Using Riemannian Manifold in Indoor Environment by Rohit Dujari, Brijesh Patel, Bhumeshwar K. Patle

“…This paper introduces an innovative dual-path planning algorithm rooted in a topological three-dimensional Riemannian manifold (T3DRM) to optimize drone navigation in complex environments. …”
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THE DEVELOPMENT OF DYNAMOMETRIC GAUGE CONSTRUCTIONS USING FORCE COMPENSATION OF THE ELASTIC SENSING ELEMENT DEFORMATION FROM EXTERNAL LOADS by I. V. Antonets, V. A. Borsoev, V. V. Borsoeva, R. A. Borisov

“…Force measurement is used to determine loads affecting operation capability of various types of equipment and their components to ensure safe operation as well as during tests and research of the systems and mechanisms. The most effective are devices consisting of an elastic element and a transducer of its deformation into an electric signal. …”
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Application of Variational Quantum Eigensolver for Ground State Energies Calculation in Hydrogen and Helium Atomic Sequences by Difa Farhani Hakim, Teguh Budi Prayitno, Yanoar Pribadi Sarwono

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Responsible AI Framework for Autonomous Vehicles: Addressing Bias and Fairness Risks by Abhinav Tiwari, Hany E. Z. Farag

“…Third, the paper focuses on bias and fairness within AV systems, outlining precise techniques for bias detection and mitigation across data collection, algorithm design, and real-time decision-making. Lastly, the research presents bias removal simulations using publicly available AV datasets, evaluating mitigation strategies such as synthetic data generation and algorithmic fairness analysis. …”
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Demographic forecast modelling using SSA-XGBoost for smart population management based on multi-sources data. by Jin Wang, Shihan Ma, Qing Lv, Qiang Li

“…The combination model is verified based on the data of the 6th and 7th national population census and mobile phone signal data in Hebei Province, obtained the predicted data for mortality and migration, categorized by age and gender, for the following year. Subsequently, the research compared the performance of different metaheuristic algorithms and various gradient-boosting machine-learning models on the dataset. …”
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Rapid, Precise Parameter Optimization and Performance Prediction for Multi-Diode Photovoltaic Model Using Puma Optimizer by En-Jui Liu, Yan-Hao Huang, Wei-Lun Lin, Chen-Kai Wen, Chun-I Lin

“…To address these challenges, this research employs a novel metaheuristic algorithm called Puma Optimizer (PO) to optimize the parameters of multiple PV models. …”
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Assessment of PTSD in military personnel via machine learning based on physiological habituation in a virtual immersive environment by Gauthier Pellegrin, Nicolas Ricka, Denis A. Fompeyrine, Thomas Rohaly, Leah Enders, Heather Roy

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Predictive Analytics in Agriculture: Machine Learning Models for Coconut Tree Health by Goswami Anjali, Kirit Dhablia Dharmesh

“…Active machine learning (ML) models have started replacing the conventional methods of crops health management and farm productivity with predictive analytics. The aim of this research paper is to anticipate the health of coconut trees, an important tropical crop, with the help of ML applications. …”
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A Novel Aerosol Optical Depth Retrieval Method Based on SDAE from Himawari-8/AHI Next-Generation Geostationary Satellite in Hubei Province by Shiquan Deng, Ting Bai, Zhe Chen, Yepei Chen

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A computational approach to the study of interactions between proteins and miR10-b, miR-335, and miR-21 involved in breast cancer by Rahma Hammou, Yassine Kasmi, Moulay Ennaji

“…Moreover, our study suggests developing research on different pathways of association proteins-miRNAs as a part of epigenetic extra-nuclear regulation. …”
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SURGICAL TREATMENT OF HEMORRHOIDAL BLEEDING IN PATIENTS WITH CARDIOVASCULAR DISEASES UNDER ANTICOAGULANT AND ANTIPLATELET THERAPY by A. Z. Tsitskarava, A. U. Korolkov, G. G. Hubulava, A. N. Demin

“…The OBJECTIVE was to build an algorithm for medical and surgical treatment of hemorrhoidal bleedings in patients with cardiovascular diseases under anticoagulant and antiplatelet therapy.MATERIAL AND METHODS. …”
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